The node and edge Prioritization based Community Analysis (ne.PCA) for Protein-Protein Interaction Network😊
# version 3.6.0 for check
# install.packages("devtools")
library(devtools)
devtools::install_github("wf-frank2019/ne.PCA")
library(ne.PCA)
# ? or help(" ") for description of five functions:qc.DEGs();RWRs.CN();TFCs();MODULEs();ne.PCA()

# If you wanna identify key biological network nodes or edges or modules as well as drugability prediction, just type:
ne.PCA(nodes,edges)
ref: https://www.mdpi.com/2073-4409/10/2/402
DEGs were identified respectively:588 common DEGs
NSCLC seed genes were collected from seven database with different focus
Protein-protein interaction network based on STRING(https://string-db.org/)
DEGs include 12 known genes from KEGG(https://www.kegg.jp/kegg/),COSMIC(https://cancer.sanger.ac.uk/cosmic/),DisGenet(https://www.disgenet.org/)
KeyNetwork:nodes and edges are weighted by RWRscore and TFscore respectively
Community Network Overview
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